000 02419nam  2200349zi 4500
0019.942465
003CaOODSP
00520240829120416
006m     o  d f      
007cr cn|||||||||
008240827e20240325onc     ob   f000 0 eng d
040 |aCaOODSP|beng|erda|cCaOODSP
0861 |aCS11-522/2022-1-5E-PDF
1001 |aYou, Yong, |eauthor.
24510|aApplication of sampling variance smoothing methods for small area proportion estimation / |cby Yong You and Mike Hidiroglou.
2461 |iAt head of title: |aProceedings of Statistics Canada Symposium 2022 : |bdata disaggregation : building a more representative data portrait of society
264 1|a[Ottawa] : |bStatistics Canada = Statistique Canada, |cMarch 25, 2024.
300 |a1 online resource (7 pages).
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
4901 |a[Statistics Canada international symposium series : proceedings], |x1709-8211
500 |aCover title.
500 |aIssued also in French under title: Application de méthodes de lissage de la variance due à l'échantillonnage aux fins d'estimation sur petits domaines.
504 |aIncludes bibliographical references (pages 6-7).
5203 |a"Sampling variance smoothing is an important topic in small area estimation. In this paper, we propose sampling variance smoothing methods for small area proportion estimation. In particular, we consider the generalized variance function and design effect methods for sampling variance smoothing. We evaluate and compare the smoothed sampling variances and small area estimates based on the smoothed variance estimates through analysis of survey data from Statistics Canada. The results from real data analysis indicate that the proposed sampling variance smoothing methods work very well for small area estimation"--Abstract, page 1.
650 0|aSampling (Statistics)
650 0|aSmall area statistics.
7102 |aStatistics Canada, |eissuing body.
77508|tApplication de méthodes de lissage de la variance due à l'échantillonnage aux fins d'estimation sur petits domaines / |w(CaOODSP)9.942467
830#0|aStatistics Canada international symposium series - proceedings,|x1709-8211|w(CaOODSP)9.505681
85640|qPDF|s375 KB|uhttps://publications.gc.ca/collections/collection_2024/statcan/11-522-x/CS11-522-2022-1-5-eng.pdf